Gemini Enterprise Engineer

We're looking for a Gemini Enterprise Engineer to design, implement, and support enterprise-grade Generative AI solutions using Google Cloud Platform (GCP). You'll work closely with business stakeholders, developers, cloud engineers, and security teams to deliver secure, scalable AI-powered applications that transform business processes.

Responsibilities

• Design, configure, and deploy Gemini Enterprise solutions based on business requirements.
• Develop AI-powered enterprise search, knowledge discovery, workflow automation, and AI agent solutions.
• Integrate Gemini Enterprise with Google Workspace, Microsoft 365, databases, APIs, cloud storage, and other enterprise systems.
• Build secure data ingestion, indexing, retrieval, and search experiences.
• Implement Identity and Access Management (IAM), role-based access controls, and AI governance best practices.
• Monitor application performance, troubleshoot issues, and optimize AI search quality and user experience.
• Collaborate with cross-functional teams to gather requirements, develop technical solutions, and deliver Proofs of Concept (POCs).
• Create technical documentation and provide training to administrators and end users.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
• 3+ years of experience in Cloud Engineering, Software Development, AI Engineering, Data Engineering, or Enterprise Application Implementation.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Generative AI, Large Language Models (LLMs), Conversational AI, or Enterprise Search.
• Strong experience integrating applications with REST APIs, databases, cloud storage, and third-party systems.
• Proficiency in at least one of the following:
• Python
• Java
• JavaScript / TypeScript
• Go
• Knowledge of:
• REST APIs
• OAuth
• Service Accounts
• Identity & Access Management (IAM)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Semantic Search
• Experience with application testing, troubleshooting, logging, and monitoring.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with Gemini Enterprise, Gemini APIs, Vertex AI, or Vertex AI Search.
• Experience building AI Agents and Agentic Workflows.
• Experience integrating Google Workspace or Microsoft 365.
• Knowledge of BigQuery, Cloud Storage, Cloud Run, Cloud Functions, and Pub/Sub.
• Experience with Terraform, GitHub Actions, Cloud Build, or Infrastructure as Code (IaC).
• Google Cloud certifications (Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, Professional Cloud Developer, or Generative AI Leader) are a plus.

Key Skills

• Google Cloud Platform (GCP)
• Gemini Enterprise
• Vertex AI
• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Python / Java / JavaScript / TypeScript / Go
• REST APIs
• Identity & Access Management (IAM)
• Google Workspace
• Microsoft 365
• BigQuery
• Cloud Storage